Gxumela Kokuqukethwe
AGIRight.org

AICL — Umqinga Welayisensi Yokuqukethwe kwe-AI

Ilayisensi Yokuqukethwe kwe-AI / Umqinga Welayisensi Yokuqukethwe kwe-AI

Iguqulela amalungelo aziswako abe lilayisensi elisebenzako: cela inani, khokha, qinisekisa, hlola, hoxisa.

Draft v0.1 Isikhema ↓

01 · Incazelo

I-AICL mmqinga welayisensi neentengiselwano owakhelwe phezu kwe-AICR. Lapho i-AICR ichaza khona bona yini evunyelweko, i-AICL ichaza indlela imvumo ethathwa ngayo ngempela: amazinga wamalayisensi namanani, iindawo zokucela inani nezokukhokha, iitokheni zelayisensi ezisayinilweko, amarekhodi wokusetjenziswa nawokuhlolwa, kanye nokuhoxiswa. Yenzelwe ukusebenzelana namaqhinga wokukhokha yimitjhini asakhulako afana neengcubungulo ze-HTTP 402 kanye namasikimu we-pay-per-crawl, ikhokhelo lama-ejenti ligcinwa ngaphakathi kwebhajethi evunyelwe mumuntu kanye neemzila zokuhlolwa.

02 · Umnqopho

  • Guqula iinzaziso zamalungelo zibe yimakethe yelayisensi esebenzako kunokuba newebhu ye-binary evulekileko/evaliweko.
  • Yenza kufane umgudu we-mitjhini-kuya-emitjhini: fumana umthetho → cela inani → thola ilayisensi → sebenzisa → hlolwa.
  • Gcina iinkhokhelo zama-ejenti zinemikhawulo: iibhajethi, imikhawulo yemvumo, iitokheni ezibotjhelelwe emcelweni, amarekhodi apheleleko wokuhlolwa.
  • Nikela abanikeli bokuqukethwe indlela eya esikhokhisweni ngaphandle kokuvala amasayidi wabo ku-AI.

03 · Ibanga

00

Ikhathalogu Yamalayisensi — amazinga wamaqoqo wamalungelo anamanani nemibandela

01

Iindawo Zokucela Inani / Ukukhokha / Ukuqinisekisa / Ukuhoxisa

02

Iitokheni Zelayisensi Ezisayinilweko Ezibotjhelelwe Kumceli, Ibanga, Nesikhathi

03

Amarekhodi Wokusetjenziswa Kanye Neemzila Zokuhlolwa

04

Ukusebenzelana kwe-HTTP 402 “Kudingeka Ikhokhelo”

05

Imithetho Yokuvikeleka: Akukho i-AI Esebenza Ngedatha Yekhadi Eluhlaza, Imikhawulo Yemvumo Yomuntu

04 · Isibonelo esifundeka yimitjhini

Amalayisensi Wale Sayidi Ngokwayo — /.well-known/aicl.json

/.well-known/aicl.json
{
  "version": "0.1",
  "publisher": "AGIRight.org",
  "licenses": [
    {
      "id": "public_read_summary",
      "rights": ["read", "summarize", "quote"],
      "price": { "amount": "0", "currency": "USD" },
      "conditions": [
        "attribution_required",
        "no_model_training",
        "no_commercial_redistribution"
      ]
    },
    {
      "id": "research_rag",
      "rights": ["read", "summarize", "rag"],
      "price": { "amount": "0", "currency": "USD" },
      "conditions": [
        "attribution_required",
        "retention_days_30",
        "no_model_training"
      ]
    },
    {
      "id": "commercial_or_training_license",
      "rights": ["training", "commercial_use"],
      "requires_contact": true,
      "contact": "contact@agiright.org"
    }
  ]
}

05 · Imikhawulo

  • Le sayidi ayisebenzisi isango lokukhokha; amalayisensi wokuthengiselana asekelwe ekuthintaneni ku-v0.1.
  • I-AICL sisiphakamiso sephrothokholo — ayiqiniseki bona amakampani we-AI azokhokha.
  • Ukuthobela imithetho yeenkhokhelo, iintela, kanye nokulawulwa kwezezimali kungaphandle kwebanga leli drafu.
  • Iifomethi zeetokheni neencazelo zeendawo zokuhlanganisa zisesengcoceni begodu kungenzeka zitjhugulule.

Inothi lokuthiywa

Ecwaningweni langaphambili le-EveMissLab, isifitjhaniso i-AICL nayo iqamba i-“AI Ingestion & Capability Layer” — umqinga wesakhiwo wendlela amasistimu we-AI afunda ngayo begodu abize amawebhusayidi (imiqinga engaphasi ye-manifest, i-corpus, ikghono, nokulawulwa). Kule sayidi, i-AICL isho Umqinga Welayisensi Yokuqukethwe kwe-AI ngaphandle kobana kutjhiwo tjhini ngokukhanyako; umsebenzi womqinga wokuthatha upapashwe njengephepha elimhlophe elihlukileko.